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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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As a Data SME, your expertise in Data Science, Data Visualization, and Data Engineering will be pivotal in shaping the future of our data-driven capabilities.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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NASA's Goddard Space Flight Center, nestled in the Maryland suburbs of Greenbelt, is just 30 minutes from the heartbeat of America - Washington, D.C. Now you can have it all - the nightlife, museums, great food and theatre, while working at a place that pushes the envelope of science every day, yet spy a deer or a Canada Goose, as you stroll the grounds of Goddard during lunch.
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Lead Get Well’s strategic direction and vision for data science, business analytics, and data engineering functions, building partnerships with stakeholders across Product, Sales, Marketing, Client Success and Engineering.
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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Prior experience integrating Snowflake and Databricks Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions (e.g. Eagle, State Street Alpha platform) Prior experience in data science/AI/BI tools.
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Requirements: Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Engineering or related discipline. Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies.
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Together, we are a global leader in Diversity, Equity, and Inclusion (DEI) in emergency management and climate resilience, providing client support through assessments, strategy, data science, education, planning, training, exercises, econometrics, coaching, trauma-centered community engagement, equity audits, capacity building, and effective implementation.
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The candidate will apply advanced machine learning methods, utilizing remote sensing data from NASA and other agencies, and commercial platforms, to support the development of integrated water cycle modeling tools in an open science environment.
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Experience with creating benchmark datasets and Python packages to facilitate data science objectives. Master’s degree in Engineering, Computer Science, or Data Science.
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Superior modeling and analytical skills applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Staying current on the latest developments in climate science and catastrophe risk modeling.
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Salary 80,000 - 110,000 USD per year Requirements: - The Information Technology Specialist (Science Software Developer) is responsible for extending and maintaining the data reduction and analysis software for the Chandra X-ray Observatory.
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You will function as part of a world class Data Science team to support various AI and machine learning initiatives Solve complex marketing and business challenges by accessing, integrating, manipulating, mining, and modeling a variety of data sources Reframe client business questions into data science deliverables.
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PhD in Computer Science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field. Master’s in computer science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field.
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data science jobs in Silver Spring, MD
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